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Title: Ground-Mounted Photovoltaic and Crop Cultivation: A Comparative Analysis
Authors: Гавриш, Валерій Іванович
Havrysh, Valeriy
Sacchelli, Sandro
Kalinichenko, Antonina
Suszanowicz, Dariusz
Keywords: agriculture
coefficient of variation
net present value
profitability index
Social Sciences: Geography, Planning and Development
Environmental Science: Environmental Science (miscellaneous)
Computer Science: Computer Science (miscellaneous)
Engineering: Building and Construction
Environmental Science: Management, Monitoring, Policy and Law
Computer Science: Computer Networks and Communications
Energy: Energy Engineering and Power Technology
Computer Science: Hardware and Architecture
Energy: Renewable Energy, Sustainability and the Environment
Issue Date: 2022
Citation: Sacchelli, S., Havrysh, V., Kalinichenko, A., & Suszanowicz, D. (2022). Ground-mounted photovoltaic and crop cultivation: A comparative analysis. Sustainability (Switzerland), 14(14) doi:10.3390/su14148607
Abstract: Human civilization depends on energy sources, mainly fossil fuels. An increase in the prices of fossil fuels and their exhaustibility limit economic growth. Carbon dioxide emission causes global environmental problems. Global crises (including COVID-19) have sharpened food and energy supply problems. The decentralized energy supply systems as well as the expedition of the application of renewable energy may solve these challenges. The economic shift to renewable power generation intensifies the competition between food crop production and green energy for land. This paper applied an open-source spatial-based model to quantify the solar power generation (the ground-mounted photovoltaic panels) for the southern regions of Poland (the Opole region) and Ukraine (the Mykolaiv region). The model used technical, economic, and legal constraints. This study compared economic indicators of the solar power generation and the crop production projects for rain-fed land. The net present value (NPV) and the profitability index (PI) were used for the economic evaluation. Additionally, the coefficients of variation were determined to assess investment risks. The use of model to find the spatial distribution of the reduction of carbon dioxide emission was the novelty of this study. The analysis revealed that the PV projects have higher NPV, but lower PI compared to the crop production. The PV projects have lower coefficients of variation. This fact testifies that these projects are less risky.
Appears in Collections:Публікації науково-педагогічних працівників МНАУ у БД Scopus
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